The Hartford Small Fund Market Value
| HSCYX Fund | USD 25.77 0.24 0.92% |
| Symbol | Hartford |
Hartford Small 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Hartford Small's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Hartford Small.
| 04/24/2023 |
| 04/18/2024 |
If you would invest 0.00 in Hartford Small on April 24, 2023 and sell it all today you would earn a total of 0.00 from holding The Hartford Small or generate 0.0% return on investment in Hartford Small over 360 days. Hartford Small is related to or competes with Hartford Growth, Hartford Growth, Hartford Growth, Hartford Growth, Hartford Growth, Hartford Growth, and Hartford Growth. The fund seeks its investment objective by investing primarily in common stocks selected on the basis of potential for c... More
Hartford Small Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Hartford Small's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess The Hartford Small upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.26 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 4.97 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 1.69 |
Hartford Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hartford Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hartford Small's standard deviation. In reality, there are many statistical measures that can use Hartford Small historical prices to predict the future Hartford Small's volatility.| Risk Adjusted Performance | 0.0162 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0073 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Small's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hartford Small Backtested Returns
We consider Hartford Small very steady. Hartford Small holds Efficiency (Sharpe) Ratio of 0.0236, which attests that the entity had a 0.0236% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Hartford Small, which you can use to evaluate the volatility of the entity. Please check out Hartford Small's Downside Deviation of 1.26, market risk adjusted performance of 0.0173, and Risk Adjusted Performance of 0.0162 to validate if the risk estimate we provide is consistent with the expected return of 0.0269%. The fund retains a Market Volatility (i.e., Beta) of 1.49, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Hartford Small will likely underperform.
Auto-correlation | 0.35 |
Below average predictability
The Hartford Small has below average predictability. Overlapping area represents the amount of predictability between Hartford Small time series from 24th of April 2023 to 21st of October 2023 and 21st of October 2023 to 18th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Hartford Small price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Hartford Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 3.57 |
Hartford Small lagged returns against current returns
Autocorrelation, which is Hartford Small mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Hartford Small's mutual fund expected returns. We can calculate the autocorrelation of Hartford Small returns to help us make a trade decision. For example, suppose you find that Hartford Small has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Hartford Small regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Hartford Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hartford Small mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hartford Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Hartford Small Lagged Returns
When evaluating Hartford Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hartford Small mutual fund have on its future price. Hartford Small autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Hartford Small autocorrelation shows the relationship between Hartford Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in The Hartford Small.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Hartford Small in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Hartford Small's short interest history, or implied volatility extrapolated from Hartford Small options trading.
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Hartford Small technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.